Results 21 to 30 of about 72,082 (280)

On the meaning and use of kurtosis. [PDF]

Psychological Methods, 1997
For symmetric unimodal distributions, positive kurtosis indicates heavy tails and peakedness relative to the normal distribution, whereas negative kurtosis indicates light tails and flatness. Many textbooks, however, describe or illustrate kurtosis incompletely or incorrectly.
openaire   +1 more source

Extreme Precipitation Strongly Impacts the Interaction of Skewness and Kurtosis of Annual Precipitation Distribution on the Qinghai–Tibetan Plateau

Atmosphere, 2022
Characterizing extreme precipitation precisely is crucial for predicting vegetation response to drought or storms. However, current precipitation generators in vegetation models do not simulate the occurrence and amount of extreme precipitation well ...
Tong Guo
doaj   +1 more source

Correlation Between Diagnostic Value of Diffusion Kurtosis Imaging for Nasopharyngeal Carcinoma and Ki-67 Expression

B-ENT, 2023
Objective: The objective of this study was to observe the correlation between multiple quantitative parameters of magnetic resonance diffusion kurtosis imaging and expression of proliferation-related antigen Ki-67 in nasopharyngeal carcinoma.
Yingning Wu, Lina Huang, Baosheng Li, Hengguo Li   +3 more
doaj  

Comparison of Portfolio Mean-Variance Method with the Mean-Variance-Skewness-Kurtosis Method in Indonesia Stocks

, 2022
In this paper, we compare the optimal portfolio weight of mean-variance (MV) method with mean-variance-skewness-kurtosis (MVSK) method. MV is a method to get weight on a portfolio.
Fakhriyana, Dina, Winanda, Rara Sandhy, Sari, Devni Prima, Agustina, Dina, Hilmi, Muhammad Rashif   +4 more
core   +2 more sources

Mean, standard deviation and kurtosis of the sentiment values.

, 2022
Notes: The mean, standard deviation and kurtosis are calculated as follows: ; ; where is the mean of the sentiment values at month i, σi is the standard deviation of the sentiment values and γ2i is the kurtosis of the sentiment values, Ni is the number
Elizaveta Kopacheva (11873792), Victoria Yantseva (12065785)   +1 more
core   +1 more source

Feasibility study of dual parametric 2D histogram analysis of breast lesions with dynamic contrast-enhanced and diffusion-weighted MRI

Journal of Translational Medicine, 2018
Background This study aimed to investigate the diagnostic value of a dual-parametric 2D histogram classification method for breast lesions. Methods This study included 116 patients with 72 malignant and 44 benign breast lesions who underwent CAIPIRINHA ...
Yanqiong Chen, Bin Wu, Hui Liu, Dan Wang, Yajia Gu   +4 more
doaj   +1 more source

Flow cytometric assessment of erythrocyte shape through analysis of FSC histograms: use of kurtosis and implications for longitudinal evaluation. [PDF]

PLoS ONE, 2013
Sphericity of erythrocytes can be estimated from analysis of FSC signal distribution in flow cytometry. Previously, Pearson's coefficient of dissymmetry (PCD) and spherical index (SphI) were applied to determine erythrocyte sphericity from the FSC ...
Christoph Ahlgrim, Torben Pottgiesser, Thomas Sander, Yorck Olaf Schumacher, Manfred W Baumstark   +4 more
doaj   +1 more source

MAD (about median) vs. quantile-based alternatives for classical standard deviation, skewness, and kurtosis

Frontiers in Applied Mathematics and Statistics, 2023
In classical probability and statistics, one computes many measures of interest from mean and standard deviation. However, mean, and especially standard deviation, are overly sensitive to outliers.
Eugene Pinsky, Sidney Klawansky
doaj   +1 more source

Mean, standard deviations, skewness and kurtosis statistics for the study measures.

, 2023
Mean, standard deviations, skewness and kurtosis statistics for the study measures.
Ilya Venger, Peter Fonagy (685137), Annie Bird, Alex Desatnik, Annie Bird (7434344), Ilya Venger (255969), Peter Fonagy, Alex Desatnik (16412748), Avi Shmueli (16412751), Avi Shmueli   +9 more
core   +1 more source

Pearson’s correlation coefficients, mean, SD, skewness and kurtosis of observed variables.

, 2021
Pearson’s correlation coefficients, mean, SD, skewness and kurtosis of observed variables.
Goro Yoshitani (11330979), Masanori Horiguchi (11330982), Yasutaka Ojio (5855648), Kensuke Hatakeyama (11330973), Shin Kawamura (11330976), Chiyo Fujii (5855657), Sosei Yamaguchi (3586196), Shun Nakajima (598367), Masaru Horikoshi (169734), Ayako Kanie (721901), Asami Matsunaga (6813626)   +10 more
core   +1 more source